Image processing apparatus, image processing method, and image processing program
a technology of image processing and image processing method, applied in the field of image processing apparatus, image processing method, image processing program, can solve the problems of inability to judge the spatial characteristics of images, erroneous judgment of similarity, etc., and achieve the effect of accurate evaluation
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first embodiment
[0073]FIG. 3A is a collection diagrams for explaining the method by which the first and second images are divided in the The deformed first image V1a and the second image V2 illustrated in FIG. 3A represent xy planes having the centers of three dimensional images as the origins thereof. For the purpose of the explanation, each of the control points X within the deformed first image V1a are displaced only within the xy plane. As illustrated in FIG. 3A, the dividing conditions in the present embodiment are defined such that reference points P1 and P2 are respectively set in the deformed first image V1a and the second image V2, and divide the deformed first image V1a and the second image V2 according to ranges of distances from the reference points P1 and P2. In greater detail, the deformed first image Vla and the second image V2 are divided into k spherical or hollow spherical regions that satisfy 0≦d0, d0≦d1, d1≦d2, . . . , dk-1≦dk. Then, the evaluation function S(μ) is defined by t...
second embodiment
[0098]As shown in Formula (4), in the evaluation function employed by the present embodiment, the item that represents the measure of similarity between the deformed first image and the second image is weighted by the probability data PL(m; μ|f) that represents the certainty of the combination of the two images for each combination of pixel values of the deformed first image and the second image, according to the certainty of the combination of the pixel values of the two images. Note that as illustrated in FIG. 3A, the dividing conditions in the second embodiment are defined such that reference points P1 and P2 are respectively set in the deformed first image V1a and the second image V2, and divide the deformed first image V1a and the second image V2 according to ranges of distances from the reference points P1 and P2. In addition, in the evaluation function S(μ) represented by Formula (4), degrees of similarity (degrees of divided image similarity) of pairs (A0, B0), (A1, B1), . ....
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